Really Simple Licensing: Open content lice㎱㏌g standard for the AI-first Internet

RSL (Really Simple Licensing) launched as an open standard that lets publishers attach machine-readable licensing terms to their content for AI use, covering attribution, pay-per-crawl and pay-per-inference compensation. The standard, which builds on RSS and integrates with Schema.org, includes an RSL Open Licensing Protocol for licensing content at internet scale without manual negotiations, plus support for collective licensing and encrypted media. Tim O'Reilly, CEO of O'Reilly Media, said RSL "builds directly on the legacy of RSS, providing the missing licensing layer for the AI-first Internet," and People Inc. CEO Neil Vogel said it moves the industry from blocking unauthorized crawlers to setting licensing terms for all AI use cases at global web scale.

Protect your content rights in the AI era RSL is an open standard that lets publishers define machine-readable licensing terms for their content, including attribution, pay per crawl, and pay per inference compensation. <rsl xmlns="https://rslstandard.org/rsl" <content url="/" <license <permits type="usage" ai-train</permits <payment type="subscription" < -- Using content for AI training requires custom license -- <custom https://example.com/contact-form.html</custom </payment </license </content </rsl <rsl xmlns="https://rslstandard.org/rsl" <content url="/" <license <permits type="usage" all</permits <payment type="attribution" < -- Content available under CC attribution license -- <standard https://creativecommons.org/licenses/by/4.0/</standard </payment </license </content </rsl The open content licensing standard for the AI-first Internet Featured Supporters Tim O’Reilly, CEO of O’Reilly Media Today, as AI systems absorb and repurpose that same content without permission or compensation, the rules need to evolve. RSL builds directly on the legacy of RSS, providing the missing licensing layer for the AI-first Internet. Neil Vogel, CEO People Inc. Creators are essential to the success of the AI era and must be fairly compensated. RSL moves the industry forward—evolving from simply blocking unauthorized crawlers, to setting our licensing terms, for all AI use cases, at global web scale. Enable AI and other technology companies to license content at internet scale through the RSL Open Licensing Protocol OLP https://rslstandard.org/guide/license-servers , eliminating manual negotiations and integrations. <rsl xmlns="https://rslstandard.org/rsl" < -- Using content requires obtaining license from an OLP server -- <content url="/videos" server="https://example-server.org/api" <license ... </license </content </rsl Collaborate with other content owners in negotiating collective licensing terms https://rslstandard.org/guide/standard-licenses and building sustainable licensing ecosystems between content owners and AI companies. <rsl xmlns="https://rslstandard.org/rsl" <content url="/" server="https://api.rslcollective.org" <license <payment type="use" < -- Using content requires obtaining RSL Collective license -- <standard https://rslcollective.org/license</standard </payment </license </content </rsl <rsl xmlns="https://rslstandard.org/rsl" <content url="/" server="https://api.rslcollective.org" <license <payment type="attribution" < -- Using content requires obtaining RSL Collective license -- <standard https://rslcollective.org/license</standard </payment </license </content </rsl Replace ad-hoc data integrations and passwords with an open, standards-based solution https://rslstandard.org/rsl 7-encrypted-media-standard-ems that encrypts and protects your proprietary content during transit. <rsl xmlns="https://rslstandard.org/rsl" < -- Decrypting EPUB content requires obtaining a license key -- <content url="/books/book1.epub.enc" encrypted="true" server="https://example-server.org/api" <license ... </license </content </rsl RSL integrates with RSS https://rslstandard.org/rsl 4-7-rss-license-association and Schema.org https://rslstandard.org/rsl 3-14-schema-linked-or-inline-metadata to enable publishers to create standards-based, machine-readable catalogs of their licensable content and datasets. <rss xmlns:rsl="https://rslstandard.org/rsl" version="2.0" <channel <title Datasets - UCI Machine Learning Repository</title <link https://archive.ics.uci.edu/datasets</link <item <title Iris dataset</title <link https://archive.ics.uci.edu/dataset/53/iris</link <rsl:content url="https://archive.ics.uci.edu/public/53/iris.zip" <rsl:license <rsl:payment type="free"/ </rsl:license </rsl:content </item </channel </rss Join the GitHub discussion group https://github.com/orgs/rslstandard/discussions to receive updates about RSL and share your support for RSL on Social Media: Simon Wistow, Co-founder of Fastly "The launch of the RSL Standard is a timely and necessary response to the shifting economics of the web. By making it easy for publishers to define and enforce licensing terms, RSL lays the foundation for a healthy content ecosystem." Ricky Arai-Lopez, Head of Product, Quora "Quora is proud to support the RSL Standard, which helps publishers set terms that work for them, serving as an important step towards a sustainable path for both industries to create mutual value and thrive together."